R Notebook

data load

library(dplyr)

Attaching package: ‘dplyr’

The following objects are masked from ‘package:stats’:

    filter, lag

The following objects are masked from ‘package:base’:

    intersect, setdiff, setequal, union

library(data.table)

Registered S3 method overwritten by 'data.table':
  method           from
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data.table 1.14.2 using 1 threads (see ?getDTthreads).  Latest news: r-datatable.com
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This installation of data.table has not detected OpenMP support. It should still work but in single-threaded mode.
This is a Mac. Please read https://mac.r-project.org/openmp/. Please engage with Apple and ask them for support. Check r-datatable.com for updates, and our Mac instructions here: https://github.com/Rdatatable/data.table/wiki/Installation. After several years of many reports of installation problems on Mac, it's time to gingerly point out that there have been no similar problems on Windows or Linux.
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Attaching package: ‘data.table’

The following objects are masked from ‘package:dplyr’:

    between, first, last

library(ggplot2)
library(ggmap)

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Please cite ggmap if you use it! See citation("ggmap") for details.

library(RColorBrewer)
library(leaflet)

Registered S3 method overwritten by 'htmlwidgets':
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  print.htmlwidget tools:rstudio

library(scales)
library(plotly)

Attaching package: ‘plotly’

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    wind

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    last_plot

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    filter

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    layout

powerplants=read.csv('global_power_plant_database.csv')

powerplants[is.na(powerplants)] = 0
powerplantsCountry = powerplants %>% filter(country_long == "United States of America")

Data prep

powerplantsCountryFuel = powerplantsCountry %>% group_by(primary_fuel) 

powerplantsCountryFuelYear = powerplantsCountryFuel %>% summarise(energy2013 = 0.5* (sum(generation_gwh_2013) + sum(estimated_generation_gwh_2013)),
          energy2014 = 0.5* (sum(generation_gwh_2014) + sum(estimated_generation_gwh_2014)),
          energy2015 = 0.5* (sum(generation_gwh_2015) + sum(estimated_generation_gwh_2015)),
          energy2016 = 0.5* (sum(generation_gwh_2016) + sum(estimated_generation_gwh_2016)),
          energy2017 = 0.5* (sum(generation_gwh_2017) + sum(estimated_generation_gwh_2017)),
          )

powerplantsCountryFuelYearDF = as.data.frame(powerplantsCountryFuelYear)
powerplantsCountryFuelYearLabeled = powerplantsCountryFuelYearDF[,-1]
row.names(powerplantsCountryFuelYearLabeled) = powerplantsCountryFuelYearDF[,1]
transposePowerplantsCountryFuelYear = transpose(powerplantsCountryFuelYearLabeled)
colnames(transposePowerplantsCountryFuelYear) = powerplantsCountryFuelYearDF[,1]
transposePowerplantsCountryFuelYear$Year = c(2013,2014,2015,2016,2017)


totalEnergy = powerplantsCountryFuelYear %>% mutate(total = energy2013+ energy2014 +energy2015 + energy2016 + energy2017)

map

powertype = "Wind"
leaflet(powerplants %>% filter(primary_fuel == powertype)) %>% addTiles() %>% addMarkers(~longitude,~latitude,popup= ~primary_fuel,label= ~name)

Total energy bar chart

totalEnergyChart=ggplot(totalEnergy,aes(x=reorder(primary_fuel,total),y=total,fill=primary_fuel)) + geom_bar(stat="identity") + coord_flip() + scale_y_continuous(trans= 'log10', labels = trans_format('log10',math_format(10^.x))) + theme(axis.text.x = element_text(angle=90)) + ylab("Energy Accumulated MWH") + xlab("Primary Fuel")
totalEnergyChart

energy produced

data_long = melt(transposePowerplantsCountryFuelYear, id="Year")

Warning in melt(transposePowerplantsCountryFuelYear, id = "Year") :
  The melt generic in data.table has been passed a data.frame and will attempt to redirect to the relevant reshape2 method; please note that reshape2 is deprecated, and this redirection is now deprecated as well. To continue using melt methods from reshape2 while both libraries are attached, e.g. melt.list, you can prepend the namespace like reshape2::melt(transposePowerplantsCountryFuelYear). In the next version, this warning will become an error.

colnames(data_long) = c("Year","primary_fuel","energy")

lineplot = ggplot(data_long, aes(x=Year,y=energy, color= primary_fuel)) + ylab("Energy Produced MWH") + xlab("Year") + geom_line() + scale_y_continuous(trans= 'log10', labels = trans_format('log10',math_format(10^.x))) +ggtitle("Energy Produced over the Years per Type")

ggplotly(lineplot)

Warning in is.na(ticktext) :
  is.na() applied to non-(list or vector) of type 'expression'

number of plants by type

numberOfPlants = powerplantsCountryFuel %>% summarize(number = n())
ggplot(numberOfPlants,aes(x=reorder(primary_fuel,number), y=number,fill=primary_fuel)) + geom_bar(stat="identity") + theme(axis.text.x = element_text(angle=90)) + coord_flip() + scale_y_continuous(trans= 'log10', labels = trans_format('log10',math_format(10^.x))) + xlab("Primary Fuel") + ylab("Number of Plants") +ggtitle("Number of Plants per Type")

powerplantsCountryFuelAndNumber = merge(totalEnergy,numberOfPlants,"primary_fuel","primary_fuel")
powerplantsCountryFuelAndNumber = powerplantsCountryFuelAndNumber %>% mutate(EnergyPerPlant = total/number)

totalEnergyPerPlantChart=ggplot(powerplantsCountryFuelAndNumber,aes(x=reorder(primary_fuel,EnergyPerPlant),y=EnergyPerPlant,fill=primary_fuel)) + geom_bar(stat="identity") + coord_flip() + scale_y_continuous(trans= 'log10', labels = trans_format('log10',math_format(10^.x))) + theme(axis.text.x = element_text(angle=90)) + ylab("Average Energy Accumulated MWH per Plant") + xlab("Primary Fuel")
totalEnergyPerPlantChart